Researching
what comes next.
Cyravex Labs explores cybersecurity, AI, detection, automation, deception, and emerging digital systems through authentic research, open-source tools, and experimental technology.
Active Research Themes
Research themes that guide current and future founder-led Cyravex Labs work. Only implemented or published projects are presented as completed work.
AI Safety & Non-Deterministic Security
Investigating prompt injection defense-in-depth, vector store poisoning mitigation, and autonomous agent sandboxing.
API & Microservice Authorization
Exploring practical methods for identifying broken object-level authorization (BOLA) and multi-tenant isolation failures in distributed architectures.
Detection Engineering & Deception
Exploring tripwires, decoy credentials, detection engineering, and alert-correlation approaches for stronger defensive visibility.
Secure Software Architecture
Exploring pragmatic patterns that embed authentication, cryptographic hygiene, and least privilege into modern development frameworks.
Featured Projects & Open-Source Tooling
Selected public projects and founder-led technical work, with repository links and clear implementation or research boundaries.
ShadowHive
"How can dynamic, AI-assisted deception make honeypot environments harder to fingerprint while producing useful adversary intelligence?"
Autonomous deception and adversary-intelligence platform using generated organizational personas, decoy services, multi-source telemetry, MITRE ATT&CK mapping, and attack-graph concepts.
Wazuh AI Correlation Engine
"How can alert normalization, correlation logic, and AI-assisted analysis reduce analyst noise while preserving explainable security decisions?"
Security-engineering project for correlating Wazuh alerts, enriching related events, mapping activity to MITRE ATT&CK, and supporting analyst triage.
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Cyravex Labs welcomes collaboration with researchers, open-source contributors, and technical partners.